August 17, 2020 Dataset Open Access

Leighton Regayre

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  <identifier identifierType="DOI">10.5281/zenodo.3988476</identifier>
  <creators>
    <creator>
      <creatorName>Leighton Regayre</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2699-929X</nameIdentifier>
      <affiliation>University of Leeds</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Data used to create figures in the ACP Letters manuscipt "The value of remote marine aerosol measurements for constraining radiative forcing uncertainty" by Regayre et al. (2020)</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Aerosols sample constraint CCN</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-08-17</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3988476</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy" resourceTypeGeneral="JournalArticle">10.5194/acp-2019-1085</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3988475</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset was created from perturbed parameter ensembles (PPEs) using the HadGEM-UKCA atmospheric composition climate model. All data needed to reproduce figures in the Regayre et al. (2020) ACP Letters article &amp;quot;The value of remote marine aerosol measurements for constraining radiative forcing uncertainty&amp;quot; are included. Other output from the PPEs can be obtained by contacting the lead author.&lt;/p&gt;

&lt;p&gt;The following data are included here:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;CCN measurement data degraded to match the model-measurement comparison resolution.&lt;/li&gt;
	&lt;li&gt;Unconstrained and constrained CCN&lt;sub&gt;0.2&lt;/sub&gt; output from the PPE used to make Figure 1. These compressed files contain 48 .dat files. Each .dat file contains the PPE mean, variance and 95% creidble interval data. Files are named consecutively, containing data from 90&lt;sup&gt;o&lt;/sup&gt;S to 90&lt;sup&gt;o&lt;/sup&gt;N at 0&lt;sup&gt;o&lt;/sup&gt;E, then continuing Eastward. When combined, these files provide data for each latitude/longitude pair at the N48 spatial resolution.&lt;/li&gt;
	&lt;li&gt;A zip file of an netcdf file containing 26-dimensional data for parameter values, used to create the sample of 1 million model variants from our statistical emulators of model output.&lt;/li&gt;
	&lt;li&gt;A zip file containing a folder of files made of one million ones and zeros that indicate the retention/rejection criteria from applying our constraint methodology for various constraint combination scenarios, for each model variant. A value of 1 indicates the model variant was retained. Data in these files is in the same order as the unconstrained sample file of parameter values.&lt;/li&gt;
	&lt;li&gt;Compressed files containing global, annual mean RF&lt;sub&gt;aci&lt;/sub&gt; and ERF&lt;sub&gt;aci&lt;/sub&gt; values for the unconstrained set of one million model variants. The compressed netcdf files contain RF (ERF), RF&lt;sub&gt;aci&lt;/sub&gt; (ERF&lt;sub&gt;aci&lt;/sub&gt;) and RF&lt;sub&gt;ari&lt;/sub&gt; (ERF&lt;sub&gt;ari&lt;/sub&gt;) values.&lt;/li&gt;
&lt;/ul&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/654109/">654109</awardNumber>
      <awardTitle>Aerosols, Clouds, and Trace gases Research InfraStructure</awardTitle>
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    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100011102</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/FP7/603445/">603445</awardNumber>
      <awardTitle>Impact of Biogenic versus Anthropogenic emissions on Clouds and Climate: towards a Holistic UnderStanding</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Research Councils UK</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000690</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/RCUK/NERC/NE%2FJ024252%2F1/">NE/J024252/1</awardNumber>
      <awardTitle>Global Aerosol Synthesis and Science Project (GASSP) to reduce the uncertainty in aerosol radiative forcing</awardTitle>
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    <fundingReference>
      <funderName>Research Councils UK</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000690</funderIdentifier>
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      <awardTitle>AErosol model RObustness and Sensitivity study for improved climate and air quality prediction (AEROS)</awardTitle>
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    <fundingReference>
      <funderName>Research Councils UK</funderName>
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